2014
Marins, F.; Rodrigues, R.; Portela, F.; Santos, M.; Abelha, A.; Machado, J.
Extending a patient monitoring system with identification and localisation Proceedings Article
Em: pp. 1082-1086, IEEE Computer Society, 2014, ISSN: 21573611, (cited By 2; Conference of 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 ; Conference Date: 10 December 2013 Through 13 December 2013; Conference Code:109355).
Resumo | Links | BibTeX | Etiquetas: Ambient intelligence; Data acquisition; Decision support systems; Diagnosis; Intelligent agents; Intelligent systems; Multi agent systems; Patient monitoring; Patient treatment; Radio frequency identification (RFID), Data collection; Intelligent decision support systems; Intelligent multi agent systems; Medical informatics; Monitoring system; Patient management; Patient monitoring systems; Redundant data, Intensive care units
@inproceedings{Marins20141082,
title = {Extending a patient monitoring system with identification and localisation},
author = {F. Marins and R. Rodrigues and F. Portela and M. Santos and A. Abelha and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914113050&doi=10.1109%2fIEEM.2013.6962577&partnerID=40&md5=556dc04f5bb84afe83f367467d7bf947},
doi = {10.1109/IEEM.2013.6962577},
issn = {21573611},
year = {2014},
date = {2014-01-01},
journal = {IEEE International Conference on Industrial Engineering and Engineering Management},
pages = {1082-1086},
publisher = {IEEE Computer Society},
abstract = {Intensive Care Units (ICUs) are a good environment for the application of intelligent systems in the healthcare area because it requires diagnosing, monitoring, and treatment of patients with critical illness. An intelligent decision support system, named INTCare, was developed and tested in CHP, a hospital center in Oporto. The need to detect the presence or absence of the patient in room, in order to stop the collection of redundant data concerning about the patient vital status led to the development of an RFID localisation and monitoring system - PaLMS, able to uniquely and unambiguously identify a patient and perceive its presence in room, making the process of data collection and alert event more accurate. The solution was the implementation of an intelligent multi-Agent system that connects the Patient Management System module, the INTCare module and the RFID equipment, using the HL7 standard embedded in agents behaviours. © 2013 IEEE.},
note = {cited By 2; Conference of 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 ; Conference Date: 10 December 2013 Through 13 December 2013; Conference Code:109355},
keywords = {Ambient intelligence; Data acquisition; Decision support systems; Diagnosis; Intelligent agents; Intelligent systems; Multi agent systems; Patient monitoring; Patient treatment; Radio frequency identification (RFID), Data collection; Intelligent decision support systems; Intelligent multi agent systems; Medical informatics; Monitoring system; Patient management; Patient monitoring systems; Redundant data, Intensive care units},
pubstate = {published},
tppubtype = {inproceedings}
}